小柯机器人

美国GigaMune公司David S. Johnson团队利用大规模平行筛查与挖掘，发现天然配对的人类TCRαβ库。这一研究成果于2020年3月16日在线发表在《自然—生物技术》杂志上。

Title: Massively parallel interrogation and mining of natively paired human TCRαβ repertoires

Author: Matthew J. Spindler, Ayla L. Nelson, Ellen K. Wagner, Natasha Oppermans, John S. Bridgeman, James M. Heather, Adam S. Adler, Michael A. Asensio, Robert C. Edgar, Yoong Wearn Lim, Everett H. Meyer, Robert E. Hawkins, Mark Cobbold, David S. Johnson

Issue&Volume: 2020-03-16

Abstract: T cells engineered to express antigen-specific T cell receptors (TCRs) are potent therapies for viral infections and cancer. However, efficient identification of clinical candidate TCRs is complicated by the size and complexity of T cell repertoires and the challenges of working with primary T cells. Here we present a high-throughput method to identify TCRs with high functional avidity from diverse human T cell repertoires. The approach used massively parallel microfluidics to generate libraries of natively paired, full-length TCRαβ clones, from millions of primary T cells, which were then expressed in Jurkat cells. The TCRαβ–Jurkat libraries enabled repeated screening and panning for antigen-reactive TCRs using peptide major histocompatibility complex binding and cellular activation. We captured more than 2.9 million natively paired TCRαβ clonotypes from six healthy human donors and identified rare (<0.001% frequency) viral-antigen-reactive TCRs. We also mined a tumor-infiltrating lymphocyte sample from a patient with melanoma and identified several tumor-specific TCRs, which, after expression in primary T cells, led to tumor cell killing.

DOI: 10.1038/s41587-020-0438-y

Source: https://www.nature.com/articles/s41587-020-0438-y

Nature Biotechnology：《自然—生物技术》，创刊于1996年。隶属于施普林格·自然出版集团，最新IF：68.164
官方网址：https://www.nature.com/nbt/
投稿链接：https://mts-nbt.nature.com/cgi-bin/main.plex